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» Knowledge-Driven Learning and Discovery
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INTERSPEECH
2010
13 years 2 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
ACL
2011
12 years 11 months ago
In-domain Relation Discovery with Meta-constraints via Posterior Regularization
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting m...
Harr Chen, Edward Benson, Tahira Naseem, Regina Ba...
INFOCOM
2012
IEEE
11 years 9 months ago
NSDMiner: Automated discovery of Network Service Dependencies
—Enterprise networks today host a wide variety of network services, which often depend on each other to provide and support network-based services and applications. Understanding...
Arun Natarajan, Peng Ning, Yao Liu, Sushil Jajodia...
ALT
2004
Springer
14 years 4 months ago
String Pattern Discovery
Finding a good pattern which discriminates one set of strings from the other set is a critical task in knowledge discovery. In this paper, we review a series of our works concernin...
Ayumi Shinohara
ILP
1999
Springer
13 years 11 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan